Demographics details for Queenstown, MD vs Marshall, MI
Population Overview
Compare main population characteristics in Queenstown, MD vs Marshall, MI.
| Data | Queenstown | Marshall |
|---|---|---|
| Population | 741 | 6,753 |
| Median Age | 35.3 years | 45.4 years |
| Median Income | $101,964 | $72,813 |
| Married Families | 43.0% | 43.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Queenstown vs Marshall
- The population in Marshall is higher at 6,753, compared to 741 in Queenstown.
- The median age in Marshall is higher at 45.4 years, compared to 35.3 years in Queenstown.
- Queenstown has a higher median income of $101,964 compared to $72,813 in Marshall.
- The percentage of married families is the same in both Queenstown and Marshall at 43.0%.
- The poverty level is higher in Marshall at 9%, compared to 5% in Queenstown.
- The unemployment rate is the same in both Queenstown and Marshall at 4.2%.
Demographics
Demographics Queenstown vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Queenstown | Marshall |
|---|---|---|
| Black | 13 | Data is updating |
| White | 30 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 34 | 4 |
| Two or More Races | 21 | 2 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Queenstown vs Marshall
- A higher percentage of Black residents are in Queenstown at 13% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 94% compared to 30% in Queenstown.
- Both Queenstown and Marshall have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Queenstown at 34% compared to 4% in Marshall.
- More residents identify as two or more races in Queenstown at 21% compared to 2% in Marshall.
- A greater percentage of American Indian residents live in Queenstown at 2% compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Queenstown | Marshall |
|---|---|---|
| Mental Health Not Good | 14.5% | 17.0% |
| Physical Health Not Good | 8.4% | 10.6% |
| Depression | 20.2% | 25.2% |
| Smoking | 12.0% | 17.3% |
| Binge Drinking | 17.8% | 18.0% |
| Obesity | 33.7% | 37.5% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Queenstown vs Marshall
- In Marshall, a higher percentage report poor mental health at 17.0% compared to 14.5% in Queenstown.
- Higher depression rates are seen in Marshall at 25.2% versus 20.2% in Queenstown.
- Marshall has a higher smoking rate at 17.3% compared to 12.0% in Queenstown.
- More residents engage in binge drinking in Marshall at 18.0% compared to 17.8% in Queenstown.
- Marshall has higher obesity rates at 37.5% compared to 33.7% in Queenstown.
- Disability percentages are the same in both Queenstown and Marshall at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Queenstown | Marshall |
|---|---|---|
| No Schooling | 2.7% (20) | 0.7% (46) |
| High School Diploma | 17.8% (132) | 15.8% (1,067) |
| Less than High School | 14.6% (108) | 7.3% (493) |
| Bachelor's Degree and Higher | 28.3% (210) | 33.1% (2,233) |
Education Levels Comparison: Queenstown vs Marshall
- A higher percentage of residents in Queenstown have no formal schooling at 2.7% compared to 0.7% in Marshall.
- A higher percentage of residents in Queenstown hold a high school diploma at 17.8% compared to 15.8% in Marshall.
- More residents in Queenstown have less than a high school education at 14.6% compared to 7.3% in Marshall.
- In Marshall, a larger share of residents have a bachelor's degree or higher at 33.1% compared to 28.3% in Queenstown.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.